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• W3194318323 abstract "In this article, a fault-tolerant tracking control strategy is investigated for nonlinear probability density function (PDF) control systems with the actuator fault, uncertainties, unknown disturbance, and random packet losses. The control input signal dropout and measurement signal dropouts are described as the independent Bernoulli distribution. An adaptive fault diagnosis (FD) observer based on the Lyapunov function is given to simultaneously estimate the fault, disturbance, and state with packet losses. Different from the traditional robust fault-tolerant control (FTC), a new active fault-tolerant tracking controller is designed based on the model predictive control framework, which has better adaptive fault-tolerant performance. Finally, the validity of the proposed FTC method has been proved by a simulation study of a papermaking process." @default.
• W3194318323 created "2021-08-30" @default.
• W3194318323 creator A5005867946 @default.
• W3194318323 creator A5032245741 @default.
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• W3194318323 date "2021-01-01" @default.
• W3194318323 modified "2023-10-02" @default.
• W3194318323 title "Model Predictive Fault-Tolerant Tracking Control for PDF Control Systems With Packet Losses" @default.
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• W3194318323 doi "https://doi.org/10.1109/tsmc.2021.3103814" @default.
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